Electronic Data (electronic + data)

Distribution by Scientific Domains


Selected Abstracts


Using Data from Hospital Information Systems to Improve Emergency Department Care

ACADEMIC EMERGENCY MEDICINE, Issue 11 2004
Gregg Husk MD
Abstract The ubiquity of computerized hospital information systems, and of inexpensive computing power, has led to an unprecedented opportunity to use electronic data for quality improvement projects and for research. Although hospitals and emergency departments vary widely in their degree of integration of information technology into clinical operations, most have computer systems that manage emergency department registration, admission,discharge,transfer information, billing, and laboratory and radiology data. These systems are designed for specific tasks, but contain a wealth of detail that can be used to educate staff and improve the quality of care emergency physicians offer their patients. In this article, the authors describe five such projects that they have performed and use these examples as a basis for discussion of some of the methods and logistical challenges of undertaking such projects. [source]


A new data model for XML databases

INTELLIGENT SYSTEMS IN ACCOUNTING, FINANCE & MANAGEMENT, Issue 3 2002
Richard Ho
The widespread activity involving the Internet and the Web causes large amounts of electronic data to be generated every day. This includes, in particular, semi-structured textual data such as electronic documents, computer programs, log files, transaction records, literature citations, and emails. Storing and manipulating the data thus produced has proven difficult. As conventional DBMSs are not suitable for handling semi-structured data, there is a strong demand for systems that are capable of handling large volumes of complex data in an efficient and reliable way. The Extensible Markup Language (XML) provides such solution. In this paper, we present the concept of a ,vertical view model' and its uses as a mapping mechanism for converting complex XML data to relational database tables, and as a standalone data model for storing complex XML data. Copyright © 2003 John Wiley & Sons, Ltd. [source]


Association of holidays, full moon, Friday the 13th, day of week, time of day, day of week, and time of year on case distribution in an urban referral small animal emergency clinic

JOURNAL OF VETERINARY EMERGENCY AND CRITICAL CARE, Issue 5 2009
DACVECC, DACVIM, Kenneth J. Drobatz DVM
Abstract Objective , To interrogate the association of variables: day of week, time of day, day of the year (major holidays, Friday the 13th, and the full moon), and month of year with the caseload of an urban academic emergency service. Design , Retrospective study. Setting , Urban small animal teaching hospital emergency clinic. Animals , Cats and dogs that were presented to the emergency clinic. Interventions , None. Measurements and Main Results , The hospital computer database was searched for all visits to the Emergency Service of the Mathew J. Ryan Veterinary Hospital of the University of Pennsylvania from January 1, 1987 through December 31, 2002. Variables included in the electronic data were date of admission, time of day of admission, species (dog or cat), hospital service the case was transferred to for ongoing care and whether the case was discharged directly from the emergency service. The association of caseload with day of week, time of day, day of the year (major holidays, Friday the 13th, and the full moon), and month of year was described and statistically evaluated. Saturdays and Sundays were the busiest days of the week and significantly increased caseload was noted for the majority of holidays (except Easter Day and Thanksgiving Day) with Memorial Day being the busiest. Midweek evenings as well as Saturday and Sunday afternoons were the busiest periods of the day. There was no association with caseload and Halloween, the full moon, or Friday the 13th. Conclusions , The busiest times were midweek evenings, Saturday and Sunday afternoons, and most major holidays. [source]


Potential population-based electronic data sources for rapid pandemic influenza vaccine adverse event detection: a survey of health plans,

PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, Issue 12 2008
Kristen M. Moore MPH
Abstract Purpose A vaccine against pandemic influenza may be rapidly and widely distributed, and could be used in populations with little prior exposure to influenza vaccines. Under such conditions, it will be important to gain timely information about the rates of vaccine adverse events, ideally by using electronic data from large populations. Many public and private health plans and payers have such information. Methods Between May and September 2007, we conducted a decision maker interview and technical assessment with several health plans in the United States. The interview and survey evaluated technical capability, organizational capacity, and willingness to participate in a coordinated program of rapid safety research targeting pandemic and other influenza vaccines. Results Eleven health plans (eight private, three public) participated in the decision maker interview. Most interviewees were medical directors or held similar positions within their organizations. Participating plans provided coverage and/or care for approximately 150 million members in the U.S. Nine health plans completed a technical assessment survey. Most decision makers indicated interest and willingness to participate in a coordinated rapid safety surveillance program, and all reported the necessary claims data analysis experience. Respondents noted legal, procedural, budgetary, and technical barriers to participation. Conclusions Senior decision makers representing private and public health plans were willing and asserted the ability of their organizations to participate in pandemic influenza vaccine safety monitoring. Developing working relationships, negotiating contracts, and obtaining necessary regulatory and legal approvals were identified as key barriers. These findings may be generalizable to other vaccines and pharmaceutical products. Copyright © 2008 John Wiley & Sons, Ltd. [source]


Assessment of anthrax vaccination data in the Defense Medical Surveillance System, 1998,2004,

PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, Issue 6 2007
Daniel C. Payne PhD MSPH
Abstract Purpose Understanding the completeness and accuracy of U.S. military anthrax vaccination data is important to the design and interpretation of studies to assess the safety of anthrax vaccine. We estimated the agreement between electronically recorded anthrax vaccination data in the Defense Medical Surveillance System (DMSS) versus anthrax vaccination data abstracted from hardcopy medical charts in a representative sample of the U.S. military from 1998 to 2004. Methods Medical chart abstractions were conducted at 28 military treatment facilities for 4201 personnel. Abstracted anthrax vaccination data for 1817 personnel, representing 7400 anthrax vaccine doses, were compared with electronically captured data in the DMSS from 1998 to 2004. Sensitivity, positive predictive value (PPV), specificity and negative predictive value (NPV) were calculated using weighted analyses. Results Weighted person-level analysis revealed DMSS sensitivity,=,93.8% (95%CI,=,91.1, 95.8), specificity,=,87.0% (79.0, 92.3), PPV,=,85.6% (77.2, 91.3) and NPV,=,94.5% (91.7, 96.4). Report of anthrax vaccination within a ±7 days window in both medical chart and DMSS electronic data had a sensitivity of 88.3% (85.4, 90.7) and a PPV of 86.6% (84.9, 88.2) in the vaccine dose-level analysis. Conclusions These results support that anthrax vaccination data captured by the DMSS are adequate for post-marketing surveillance investigations in the U.S. military and are of comparable quality to data captured by other vaccine safety databases. Copyright © 2007 John Wiley & Sons, Ltd. [source]


Linking data to electronic records

QUALITY ASSURANCE JOURNAL, Issue 2 2003
Heather Longden
Abstract Today it is possible to maintain electronic records in a single application in compliance with 21 CFR Part 11. However, most electronic data for a sample in an analytical laboratory is spread across a number of software applications as well as traditional paper systems. This article will examine how it is possible to link both paper and electronic records together in hybrid systems. A case study is used to demonstrate the practical aspects of a totally electronic process. Copyright © 2003 John Wiley & Sons, Ltd. [source]


Ophthalmic imaging today: an ophthalmic photographer's viewpoint , a review

CLINICAL & EXPERIMENTAL OPHTHALMOLOGY, Issue 1 2009
Timothy J Bennett FOPS
Abstract Ophthalmic imaging has changed dramatically since the 1960s with increasingly complex technologies now available. Arguably, the greatest changes have been the development of the digital camera and the speed, processing power and storage of electronic data. Already, ophthalmic practices in many major institutions overseas have paperless medium storage and electronically generated reporting from all equipment that use a computer interface. It is hard to remember the widespread use of photographic film with its attendant costs, or even to remember the days before optical coherence tomography (OCT). These latest technical improvements in ophthalmic imaging are now standard in large Australian institutions and becoming more widespread in smaller private practices. The technicians that operate and maintain this ever-increasing plethora of gadgetry have seen their work practices change from the darkroom to the complexities of data-based imaging and storage. It is a fitting time to examine the contemporary state of ophthalmic imaging and what lies on the horizon as we move towards 2020. [source]